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🏛️ Key Research Academy29 Indexed Works

Zhejiang University

Verified scientific contributions, CAS laboratory outputs, clinical trial papers, and engineering breakthroughs produced by researchers and faculty affiliated with Zhejiang University.

Journal of Semiconductors (半导体学报 - 中国科学院半导体研究所)2026

Stabilizing Perovskite Fabrication in Ambient Air

Authors: GONG Ruihao, YAN Buyi, LAN Dongchen

Perovskite-based solar cells have advanced rapidly due to their high efficiency potential, low-cost processing, and flexible fabrication routes. While silicon solar cells remain the dominant commercial technology, combining perovskites with silicon in tandem architectures offers a clear pathway to exceed the efficiency limits of single-junction devices. By pairing perovskite's tunable absorption with silicon's proven performance, perovskite–silicon tandem solar cells open new opportunities for high-efficiency photovoltaics. Yet translating these advances from laboratory demonstrations to scalable manufacturing remains a major challenge. A central obstacle lies in fabricating high-quality perovskite films under ambient conditions. Moisture in air directly interferes with perovskite crystallization, leading to disordered crystal growth, surface degradation, and the accumulation of non-ideal secondary phases. Although thermal annealing is often used to improve crystallinity, the combined effects of heat and humidity can instead accelerate irreversible degradation when processing in air. Together, these factors make crystallization control under ambient conditions particularly difficult, underscoring the need for new strategies that can stabilize film formation without relying on tightly controlled environments. Previous studies have explored several approaches to optimize perovskite film fabrication in ambient air, such as solvent engineering and longitudinal homogeneous intermediates in hybrid sequential deposition, as well as techniques like the P1.5 process that introduce a diffusion barrier layer. However, challenges persist, particularly in achieving the same performance as films fabricated in controlled environments. Now, writing in Joule, Tan et al. tackle this challenge with a novel approach that intervenes in the wet-film stage to stabilize the crystallization process. Instead of relying on environmental controls to eliminate moisture, the authors introduce an additive, n-butylammonium thiocyanate (nBASCN), to regulate crystallization dynamics. Implemented as part of the hybrid sequential deposition process, this wet-film intervention modifies the crystallization pathway, preventing premature nucleation and promoting uniform growth. The key innovation lies in the use of nBASCN to decouple diffusion from crystallization, enabling uniform crystallization and improving film quality under ambient conditions. This intervention not only improves film quality but also enhances device performance, with nBASCN-treated devices achieving higher power conversion efficiency (PCE) compared to untreated controls. Beyond improving single-junction perovskite solar cells, this approach is also effective for tandem solar cells, demonstrating the strategy's applicability to more complex multi-junction devices. This marks a crucial step toward achieving scalable, high-efficiency tandem solar cells.

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Journal of Semiconductors (半导体学报 - 中国科学院半导体研究所)2026

Preface to Focus Topic on Integrated Circuits, Technologies and Applications (ICTA) 2025

Authors: Yan Lu, Sai-Weng Sin

This Special Topic of the Journal of Semiconductors (JoS) features expanded versions of key articles presented at the 2025 IEEE International Conference on Integrated Circuits Technologies and Applications (ICTA), held in Macao, China, from October 22 to 24, 2025. IEEE ICTA is an IEEE flagship conference in the field of integrated circuits (IC) in China, providing a communication platform for sharing state-of-the-art techniques from experts in the field of ICs. Among the 146 papers presented at ICTA 2025, the Technical Program Committee and the Award Committee selected 3 high-quality articles for recommendation to the Special Topic of JoS, covering the technical fields of RF, medical neural interface, and vision sensing ICs. The first article, from Zhejiang University, introduces a fractional-N dual-path SPD/PFD PLL with a complementary digital-to-time converter (DTC) pair for DTC range reduction and INL cancellation, achieving 118 fs RMS jitter and -247.5 dB figure-of-merit in 7 nm FinFET. The second article, also from Zhejiang University, presents a battery-free neural interface with dual-overlapped on-chip antennas, enabling high-data-rate backscatter for 72-channel simultaneous recording, achieving 18 Mbps backscatter data rate in 65 nm CMOS. The third article, from the Southern University of Science and Technology, describes a cascadable stereo matching processor with a scalable semi-global matching algorithm, achieving speedups of up to 178x and 97x over CPU and Edge GPU platforms, respectively, with an energy efficiency of 7.9 pJ/pixel in 40-nm CMOS.

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China Foundry2026

Effect of Nb, Ti introduction sequence on adsorption of Nb on TiB2 surface and grain refinement performance of Al-4Ti-1Nb-1B

Authors: Hao Yi, Ying Cheng, Hua-rui Zhang, Hu Zhang

Abstract: In recent years, Al-Ti-Nb-B grain refiners have attracted increasing attention due to their grain refinement performance and anti-Si poisoning ability. This study investigates the influence of the introduction sequence of Ti and Nb during the synthesis of Al-4Ti-1Nb-1B refiners on their refinement performance on CP-Al and a series of Al-Si alloys (Al-3.5Si, Al-7Si, and Al-10.5Si). It is found that Al-4Ti-1Nb-1B prepared by introducing Ti prior to Nb exhibits the best grain refinement and anti-Si poisoning compared to samples where Nb is introduced before Ti or where both are added simultaneously. This Ti-first approach demonstrates superior grain refinement performance across CP-Al, Al-3.5S1, Ai-7Si, and Al-10.5Si alloys, especially at higher Si contents. It refines the grain size of Al-7Si to 150.1±27.5 μm from over 1,500 μm for the unrefined alloy. This superior performance is attributed to the variation in ground-state energy ΔE for the Ti prior to Nb sequence is lower than that of other sequences, thereby facilitating Nb adsorption on the TiB2 surface. TEM observations corroborate these findings, showing that TiB2 prepared by this sequence has the highest average Nb content of 3.80at.%. First-principles calculations reveal that this unique Nb adsorption enhances the TiB2/Al interfacial adhesion energy Wad and suppresses the segregation tendency of Si atoms at the interface, κSi(cSi). The higher the Nb adsorption at the TiB2/Al interface, the stronger the resistance to Si poisoning. These findings underscore the pivotal role of Nb-modified TiB2 in improving grain refinement and offer a novel strategy for advancing grain refiner technologies in Al-Si alloys.

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Nano-Micro Letters2026

Multiscale Design of Dual-Gradient Metamaterials Using Gel-Mediated 3D-Printed Graphene Aerogels for Broadband Electromagnetic Absorption

Authors: Xiong Lv, Changfeng Li, Ge Wang, Diana Estevez, Junjie Yang, Qian Chen, Faxiang Qin

Three-dimensional (3D)-printed graphene aerogels hold promise for electromagnetic wave absorption (EWA) engineering due to its ultralow density, outstanding electromagnetic dissipation with the flexibility and precision of manufacturing strategies. However, their high conductivity causes severe impedance mismatch, limiting EWA performance. 3D printing requirements also constrain the dielectric properties of printable graphene inks, hindering the integration of high-performance absorbers with advanced manufacturing. This study proposes a polyacrylic acid (PAA) gel-mediated 3D porous graphene oxide (GO) aerogel multiscale regulation strategy. Precise gel content control enables dual-gradient tuning of the rheology (Benefiting direct ink writing (DIW)) and dielectric loss (Enhancing EWA) of GO/PAA composites and reduces aerogel density (6.9 mg cm−3 from 28.2 mg cm−3). Thermal reduction decomposes PAA into amorphous carbon nanoparticles anchored on reduced graphene oxide (rGO), enhancing impedance matching and absorption via synergistic 0D/2D interfacial polarization and conductive loss. The optimized rGO/PAA aerogel achieves a minimum reflection loss (RL) of −39.86 dB at 2.5 mm and an effective absorption bandwidth (EAB) of 8.36 GHz (9.64–18 GHz) at 3.2 mm. Combining DIW and this aerogel, we design a metamaterial absorber (MA) with dual material (dielectric loss) and structural gradients. This MA exhibits an ultrawide EAB of 14 GHz (4–18 GHz) with a total thickness of 7.8 mm. This work establishes a coupled design paradigm of “composition-structure-performance,” providing an engineerable solution for developing lightweight, broadband EWA materials.

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Journal of Semiconductors (半导体学报 - 中国科学院半导体研究所)2025

A Novel Split Gate and Contact-Field-Plate LDMOS with Enhanced BV-Ron,sp Trade-off and Improved FOM

Authors: Yiting Ye, Xiaoyun Huang, Yixian Song, Kai Xu

To improve the breakdown voltage (BV)-specific on-resistance (Ron,sp) trade-off and enhance manufacturability, this article proposes a novel lateral diffused metal-oxide-semiconductor (LDMOS) structure that features a split gate and split contact field plate (CFP). This novel structure requires no additional bias voltages, masks, or process steps, making it fully compatible with the bipolar-CMOS-DMOS (BCD) process flow. The physical mechanisms are elucidated through technology computer-aided design (TCAD) simulations. In the on-state, the positively biased split gate forms an accumulation layer at the drift region surface, thereby reducing Ron,sp. In the off-state, both the split gate and split CFP introduce additional electric-field peaks that smooth the lateral electric field, thus preserving a high BV. Compared with the conventional CFP-LDMOS, the proposed CFP-LDMOS achieves an 8.52% reduction in Ron,sp without compromising BV, leading to an 8.07% improvement in the figure of merit (FOM). Notably, the proposed structure can be extended to LDMOS devices across different voltage levels within BCD platforms, demonstrating its broad applicability.

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New Carbon Materials (新型炭材料)2025

A review of the carbon coating of the silicon anode in high-performance lithium-ion batteries

Authors: XU Ze-yu, SHAO Hai-bo, WANG Jian-ming

In the development of rechargeable lithium ion batteries (LIBs), silicon anodes have attracted much attention because of their extremely high theoretical capacity, relatively low Li-insertion voltage and the availability of silicon resources. However, their large volume expansion and fragile solid electrolyte interface (SEI) film hinder their commercial application. To solve these problems, Si has been combined with various carbon materials to increase their structural stability and improve their interface properties. The use of different carbon materials, such as amorphous carbon and graphite, as three-dimensional (3D) protective anode coatings that help buffer mechanical strain and isolate the electrolyte is detailed, and novel methods for applying the coatings are outlined. However, carbon materials used as a protective layer still have some disadvantages, necessitating their modification. Recent developments have focused on modifying the protective carbon shells, and substitutes for the carbon have been suggested.

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Journal of Semiconductors (半导体学报 - 中国科学院半导体研究所)2025

A battery-free wireless temperature sensing chipset implemented by 55 and 65 nm CMOS process

Authors: Jiayi Wang, Haoyang Li, Weixiao Wang, Tianying Fang, Jiaqing Li, Yuxuan Luo, Bo Zhao

In the applications such as food production, the environmental temperature should be measured continuously during the entire process, which requires an ultra-low-power temperature sensor for long-termly monitoring. Conventional temperature sensors trade the measurement accuracy with power consumption. In this work, we present a battery-free wireless temperature sensing chip for long-termly monitoring during food production. A calibrated oscillator-based CMOS temperature sensor is proposed instead of the ADC-based power-hungry circuits in conventional works. In addition, the sensor chip can harvest the power transferred by a remote reader to eliminate the use of battery. Meanwhile, the system conducts wireless bidirectional communication between the sensor chip and reader. In this way, the temperature sensor can realize both a high precision and battery-free operation. The temperature sensing chip is fabricated in 55 nm CMOS process, and the reader chip is implemented in 65 nm CMOS technology. Experimental results show that the temperature measurement error achieves ±1.6 °C from 25 to 50 °C, with battery-free readout by a remote reader.

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Journal of Semiconductors (半导体学报 - 中国科学院半导体研究所)2025

A 112 Gbps DSP-based PAM4 SerDes receiver with a wide band equalization tuning AFE in 7 nm FinFET

Authors: Huanan Guo, Yufeng Yao, Jiazhen Ni, Xiang Gao

In DSP-based SerDes application, it is essential for AFE to implement a pre-ADC equalization to provide a better signal for ADC and DSP. To meet the various equalization requirements of different channel and transmitter configurations, this paper presents a 112 Gbps DSP-Based PAM4 SerDes receiver with a wide band equalization tuning AFE. The AFE is realized by implementing source degeneration transconductance, feedforward high-pass branch and inductive feedback peaking TIA. The AFE offers a flexible equalization gain tuning of up to 17.5 dB at Nyquist frequency without affecting the DC gain. With the proposed AFE, the receiver demonstrates eye opening after digital FIR equalization and achieves 6 × 10−9 BER with a 29.6 dB insertion loss channel.

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Journal of Semiconductors (半导体学报 - 中国科学院半导体研究所)2025

Challenges, Development and Future of Silica Abrasives in Chemical Mechanical Polishing Derived from Past Six Decades

Authors: Zuozuo Wu, Jinglin Cheng, Zhiguo Yu, Wei Zhou, Yangjian Li, Jianwei Cao, Wei Sun, Shuai Yuan, Deren Yang

Chemical mechanical polishing (CMP) serves as an indispensable process for achieving global planarization in semiconductor manufacturing, especially as integrated circuit (IC) technology advances to sub-7 nm nodes, where atomic-level surface flatness becomes crucial. Silica abrasives, which account for over 90% of the abrasive market in advanced CMP processes, operate not through simple mechanical grinding but through a key "chemical-mechanical synergistic" mechanism: chemically softening the wafer surface, then mechanically removing the softened layer to expose a new surface, which is further softened and removed, repeating this cycle to produce a smooth wafer. Despite their prevalence, conventional silica abrasives still face challenges, including relatively low material removal rate (MRR), a tendency to agglomerate, leading to poor dispersion and surface defects, and limitations in achieving ultimate surface uniformity. Significant progress has been made to address these issues. Development has progressed from simple spherical particles to complex structural designs (such as mesoporous, hollow, and raspberry-shaped structures) to enhance slurry transport and mechanical action. Surface chemical modifications (e.g., using amino or polymer groups) can improve dispersion stability and reduce scratching. Furthermore, composites with other materials (e.g., ceria, polymers) and precise control of particle size distribution are key to enhancing performance. These innovative approaches have yielded significant performance gains. State-of-the-art slurries have demonstrated the ability to achieve surface roughness below 0.1 nm RMS. The development of silica abrasives is increasingly focused on sustainability and smart manufacturing. A prominent direction is the design of biodegradable abrasives that disintegrate after use, thereby simplifying post-CMP cleanup and minimizing environmental impact—an approach fully aligned with green manufacturing principles. This review systematically summarizes the progress of silica abrasives for CMP over the past 60 years. This summary provides theoretical insights and forward-looking strategies to overcome the current limitations of abrasive technology. We believe this review will be helpful in advancing the field of CMP abrasives towards next-generation semiconductor manufacturing.

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Journal of Semiconductors (半导体学报 - 中国科学院半导体研究所)2025

Optimizing 55 nm split-gate memory for compute-in-memory: a focus on floating-gate engineering

Authors: Wanyi Ling, Ranran Liu, Kun Ren, Dianyu Qi, Yongyu Wu, Guangji Li, Miao Zhou, Qingshuang Xu, Zhenghui Xia, Xuan Li, Dertsyr Fan, Ichun Chuang, Tzung Wen Cheng, Chenming Tsai, Dawei Gao

The escalating need for high-performance artificial intelligence (AI) computing intensifies the "memory bottleneck" of the von Neumann architecture, prompting extensive exploration of computation-in-memory (CIM) solutions. This study is centered on the optimization of a high-efficiency, low-power "L"-shaped split-gate floating-gate (FG) memory for CIM applications. Fabricated on a 55 nm CMOS platform, the memory devices were systematically investigated through wafer acceptance test (WAT), Sentaurus™ simulations and comprehensive evaluations with the DNN + NeuroSim Framework V2.0. Among devices with diverse FG lengths, the 95-nm FG variant exhibits outstanding performance: it achieves a 5.35 V memory window, reaches a maximum conductance of 16.7 μS with excellent linearity under the varying voltage and width pulse scheme (VWPS), realizes 32-state multi-level storage, and attains a 92% training accuracy on the CIFAR-10 dataset using the VGG8 neural network. These results highlight the potential of the proposed memory innovation for advancing high-performance CIM systems, offering significant theoretical and practical value.

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Int. Journal of Mining Science and Technology (采矿与安全工程)2025

Advances in Thermo-Hydro-Mechanical-Chemical Modelling for CO2 Geological Storage and Utilization

Authors: Nanlin Zhang, Liangliang Jiang, Fushen Liu, Yuhao Luo, Lele Feng, Yiwen Ju, Allegra Hosford Scheirer, Jiansheng Zhang, Birol Dindoruk, S.M. Farouq Ali, Zhangxin Chen

Geological storage and utilization of CO2 involve complex interactions among Thermo-hydro-mechanical-chemical (THMC) coupling processes, which significantly affect storage integrity and efficiency. To address the challenges in accurately simulating these coupled phenomena, this paper systematically reviews recent advances in the mathematical modeling and numerical solution of THMC coupling in CO2 geological storage. The study focuses on the derivation and structure of governing and constitutive equations, the classification and comparative performance of fully coupled, iteratively coupled, and explicitly coupled solution methods, and the modeling of dynamic changes in porosity, permeability, and fracture evolution induced by multi-field interactions. Furthermore, the paper evaluates the capabilities, application scenarios, and limitations of major simulation platforms, including TOUGH, CMG-GEM, and COMSOL. By establishing a comparative framework integrating model formulations and solver strategies, this work clarifies the strengths and gaps of current approaches and contributes to the development of robust, scalable, and mechanism-oriented numerical models for long-term prediction of CO2 behavior in geological formations.

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Journal of Semiconductors (半导体学报 - 中国科学院半导体研究所)2025

A novel split gate and contact-field-plate LDMOS with enhanced BV−Ron,sp trade-off and improved FOM

Authors: Yiting Ye, Xiaoyun Huang, Yixian Song, Kai Xu

To improve the breakdown voltage (BV)−specific on-resistance (Ron,sp) trade-off and enhance manufacturability, this article proposes a novel lateral diffused metal−oxide−semiconductor (LDMOS) structure that features a split gate and split contact field plate (CFP). This novel structure requires no additional bias voltages, masks, or process steps, making it fully compatible with the bipolar-CMOS-DMOS (BCD) process flow. The physical mechanisms are elucidated through technology computer-aided design (TCAD) simulations. In the on-state, the positively biased split gate forms an accumulation layer at the drift region surface, thereby reducing Ron,sp. In the off-state, both the split gate and split CFP introduce additional electric-field peaks that smooth the lateral electric field, thus preserving a high BV. Compared with the conventional CFP-LDMOS, the proposed CFP-LDMOS achieves an 8.52% reduction in Ron,sp without compromising BV, leading to an 8.07% improvement in the figure of merit (FOM). Notably, the proposed structure can be extended to LDMOS devices across different voltage levels within BCD platforms, demonstrating its broad applicability.

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Int. Journal of Mining Science and Technology (采矿与安全工程)2025

A sediment sampling system for monitoring plume redeposition from deep-sea polymetallic nodule mining

Authors: Jiale Wu, Jiawang Chen, Xinghui Tan, Kaichuang Wang, Jianling Zhou, Zhangyong Jin, Congchi Huang, Yuan Lin, Chunsheng Wang, Junyi Yang, Shiquan Lin

The spatiotemporal characterization of plume sedimentation and microorganisms is critical for developing plume ecological monitoring models. To address the limitations of traditional methods in obtaining high-quality sediment, a novel sampling system with 6000 m operational capability and three-month endurance was developed. It is equipped with three sediment samplers and a set of formaldehyde preservation solution injection devices. The system is controlled by a low-power, timing-triggered controller. To investigate low-disturbance rheological mechanisms, gap-controlled rheological tests were conducted to optimize the structural design of the sampling and sealing assembly. Stress-controlled shear rheological tests were employed to investigate the mechanisms governing yield stress in sediments under varying temperature conditions and boundary roughness. Additionally, the coupled Eulerian-Lagrangian (CEL) method and sediment rheological constitutive models were employed to simulate tube-soil interaction dynamics and sediment disturbance. The radial heterogeneity of sediment disturbance and friction variation of the sampling tube were revealed. The tube was completely "plugged" at a penetration depth of 261 mm, providing critical data support for penetration depth parameters. The deep-sea pressure test and South China Sea field trials demonstrated the system's capability to collect and preserve quantitative time-series sediment samples with high fidelity.

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Journal of Semiconductors (半导体学报 - 中国科学院半导体研究所)2025

Realizing High-Performance, Enhanced Write Endurance of Low-RA STT-MRAM through MgO Tunnel Barrier Engineering

Authors: Kunkun Li, Xiaolei Yang, Junlu Gong, Shikun He

Spin-transfer-torque magnetic random-access memory (STT-MRAM), based on magnetic tunnel junctions (MTJs), is attracting significant attention for applications demanding high reliability and speed. To ensure high TMR which is essential for achieving sufficient sense margin, MTJs typically incorporate relatively thick tunnel barriers, resulting in high operating voltages. As the CMOS technology nodes advance and operating voltages decrease, reducing the MTJ switching voltage becomes imperative. However, MTJs with thinner tunnel barriers generally exhibit significantly degraded read margins and bit error rate, presenting a major challenge for achieving high-density, low-power MRAM. Here, we address this challenge through MgO tunnel barrier engineering and process optimization, successfully reducing the required MOS driving voltage while simultaneously expanding the write margin. Meanwhile, 85% array yield with sub-parts-per-million bit error rates at RA = 7 Ω·μm2 is achieved. These advancements are promising for developing high-density MRAM at advanced technology nodes.

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Journal of Semiconductors (半导体学报 - 中国科学院半导体研究所)2025

Transport Mechanism of Oxide-Based Programmable Diode

Authors: Junru Qu, Wentai Xia, Jifang Cao, Xueyang Li, Ran Cheng, Dong Liu, Bing Chen

In this work, oxide-based programmable diodes (PDs) with a TiN/HfO2/Si/Al structure are fabricated, and their electron transport mechanisms are investigated. Electrical measurements reveal that the conduction and rectification performance of oxide-based PDs are mainly controlled by the interface between the oxygen vacancy (VO) filament and the semiconductor electrode. The local density of states in the filament and the band bending of the PDs are calculated using first-principles simulations. The electron transport in oxide PDs is dominated by Poole–Frenkel emission under forward bias, while under negative bias, the PDs behave like a reverse Schottky diode. These mechanistic studies are essential for device optimization and circuit design of oxide-based PDs.

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Int. Journal of Mining Science and Technology (采矿与安全工程)2025

An experimental and theoretical study on the influence of stress gradients on the propagation of hydraulic fractures

Authors: Junchi Liu, Yuping Sun, Pingping Liang, Yintong Guo, Yuting He, Wenjie Xu, Duanyang Zhuang, Jinlong Li, Liangtong Zhan, Jianfu Shao, Yunmin Chen

Hydraulic fracture growth is significantly influenced by the minimum horizontal principal stress gradient and the fracturing fluid pressure gradient. However, these gradients are often neglected in scaled physical modeling experiments due to difficulties in reproducing them. This study uses centrifugal hypergravity to simulate both gradients and investigate their effects on fracture propagation. Artificial mortar specimens (φ200 mm × 400 mm) are fractured under 1g (normal gravity), 50g, and 100g. Results show that compared to 1g, fractures under 50g and 100g exhibit increasingly uneven propagation, with higher g-values leading to greater asymmetry. To interpret this, a theoretical analysis based on fracture mechanics is conducted. When the fluid pressure gradient exceeds the stress gradient, a positive net gradient is generated, increasing net pressure at the lower fracture tip. This raises the stress intensity factor at the lower tip, promoting downward growth. As g increases, the disparity becomes more significant, resulting in greater fracture deviation. In conclusion, this study, for the first time, has verified and explained that the net gradient can change the propagation of hydraulic fractures, providing important guidance for wellbore placement under stress gradients.

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Int. Journal of Mining Science and Technology (采矿与安全工程)2025

An interactive framework integrating segment anything model and structure-from-motion for three-dimensional discontinuity identification in rock masses

Authors: Jiawei Wang, Jun Zheng, Jie Hu, Xiaojin Gong, Qing Lü, Ju Han, Jialiang Sun

The identification of rock mass discontinuities is critical for rock mass characterization. While high-resolution digital outcrop models (DOMs) are widely used, current digital methods struggle to generalize across diverse geological settings. Large-scale models (LSMs), with vast parameter spaces and extensive training datasets, excel in solving complex visual problems. This study explores the potential of using one such LSM, Segment anything model (SAM), to identify facet-type discontinuities across several outcrops via interactive prompting. The findings demonstrate that SAM effectively segments two-dimensional (2D) discontinuities, with its generalization capability validated on a dataset of 2426 identified discontinuities across 170 outcrops. The model achieves 0.78 mean IoU and 0.86 average precision using 11-point prompts. To extend to three dimensions (3D), a framework integrating SAM with Structure-from-Motion (SfM) was proposed. By utilizing the inherent but often overlooked relationship between image pixels and point clouds in SfM, the identification process was simplified and generalized across photogrammetric devices. Benchmark studies showed that the framework achieved 0.91 average precision, identifying 87 discontinuities in Dataset-3D. The results confirm its high precision and efficiency, making it a valuable tool for data annotation. The proposed method offers a practical solution for geological investigations.

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Int. Journal of Mining Science and Technology (采矿与安全工程)2025

Multiscale Track-Seabed Dynamic Interaction During Deep-Sea Seabed Mining Across Operational Modes

Authors: ZHU Bin, XIU Xianhao, LAI Ying, CHEN Yunmin, KAMCHOOM Viroon, GUNAWAN Anthony, ZHANG Ruishi, XIONG Shusen

Deep-sea mining has emerged as a critical solution to address global resource shortages; however, the mechanical interaction between tracked mining vehicles (TMVs) and soft seabed sediments presents fundamental engineering challenges. This study establishes a multiscale modelling framework coupling the discrete element method (DEM) with multi-body dynamics (MBD) to investigate track-seabed dynamic interactions across three operational modes: flat terrain, slope climbing, and ditch surmounting. The simulation framework, validated against laboratory experiments, systematically evaluates the influence of grouser geometry (involute, triangular, and pin-type) and traveling speed (0.2–1.0 m/s) on traction performance, slip rate, and ground pressure distribution. Results reveal rate-dependent traction mechanisms governed by soil microstructural responses: higher speeds enhance peak traction but exacerbate slip instability on complex terrain. Critical operational thresholds are established—0.7 m/s for flat terrain, ≤0.5 m/s for slopes and ditches—with distinct grouser optimization strategies: involute grousers achieve 35%–40% slip reduction on slopes through progressive soil engagement, while triangular grousers provide optimal impact resistance during ditch crossing with 30%–35% performance improvement. These findings provide quantitative design criteria and operational guidelines for optimizing TMV structural parameters and control strategies, offering a robust theoretical foundation for enhancing the performance, safety, and reliability of deep-sea mining equipment in complex submarine environments.

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Journal of Semiconductors (半导体学报 - 中国科学院半导体研究所)2025

A 2 mm × 2 mm Battery-Free Neural Interface Achieving 72-Channel Wireless Simultaneous Recording by Dual Overlapped On-Chip Antennas

Authors: Yili Shen, Yunshan Zhang, Changgui Yang, Yuxuan Luo, Bo Zhao

Battery-free radio systems utilizing wireless power transfer (WPT) further facilitate the miniaturization of neural implants. However, simultaneous monitoring of multiple neuronal activities is required to obtain high-fidelity neural signals. Consequently, the integration of numerous channels on a single chip and the wireless transmission of massive multi-channel data pose significant challenges for implantable battery-free neural interfaces. This work introduces dual overlapped on-chip antennas to eliminate the need for a battery in the neural implants and enable high-data-rate backscatter for transmitting the massive data acquired simultaneously from 72 channels. Additionally, an orthogonal coding and sampling technique is employed to reduce both power consumption and area per channel. Fabricated in a 65 nm CMOS process, the proposed chip integrates 72 neural recording channels within a 2 mm × 2 mm area and achieves a backscatter data rate of 18 Mbps.

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Chinese Journal of Mechanical Engineering2025

Learning Manipulation from Expert Demonstrations Based on Multiple Data Associations and Physical Constraints

Authors: Yangqing Ye, Yaojie Mao, Shiming Qiu, Chuan’guo Tang, Zhirui Pan, Weiwei Wan, Shibo Cai, Guanjun Bao

Learning from demonstration is widely regarded as a promising paradigm for robots to acquire diverse skills. Other than the artificial learning from observation-action pairs for machines, humans can learn to imitate in a more versatile and effective manner: acquiring skills through mere “observation”. Video to Command task is widely perceived as a promising approach for task-based learning, which yet faces two key challenges: (1) High redundancy and low frame rate of fine-grained action sequences make it difficult to manipulate objects robustly and accurately. (2) Video to Command models often prioritize accuracy and richness of output commands over physical capabilities, leading to impractical or unsafe instructions for robots. This article presents a novel Video to Command framework that employs multiple data associations and physical constraints. First, we introduce an object-level appearance-contrasting multiple data association strategy to effectively associate manipulated objects in visually complex environments, capturing dynamic changes in video content. Then, we propose a multi-task Video to Command model that utilizes object-level video content changes to compile expert demonstrations into manipulation commands. Finally, a multi-task hybrid loss function is proposed to train a Video to Command model that adheres to the constraints of the physical world and manipulation tasks. Our method achieved over 10% on BLEU_N, METEOR, ROUGE_L, and CIDEr compared to the up-to-date methods. The dual-arm robot prototype was established to demonstrate the whole process of learning from an expert demonstration of multiple skills and then executing the tasks by a robot.

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Nano-Micro Letters2025

Sustainable Materials Enabled Terahertz Functional Devices

Authors: Baoning Wang, Haolan Wang, Ying Bao, Waqas Ahmad, Wenhui Geng, Yibin Ying, Wendao Xu

Terahertz (THz) devices, owing to their distinctive optical properties, have achieved myriad applications in diverse domains including wireless communication, medical imaging therapy, hazardous substance detection, and environmental governance. Concurrently, to mitigate the environmental impact of electronic waste generated by traditional materials, sustainable materials-based THz functional devices are being explored for further research by taking advantages of their eco-friendliness, cost-effective, enhanced safety, robust biodegradability and biocompatibility. This review focuses on the origins and distinctive biological structures of sustainable materials as well as succinctly elucidates the latest applications in THz functional device fabrication, including wireless communication devices, macromolecule detection sensors, environment monitoring sensors, and biomedical therapeutic devices. We further highlight recent applications of sustainable materials-based THz functional devices in hazardous substance detection, protein-based macromolecule detection, and environmental monitoring. Besides, this review explores the developmental prospects of integrating sustainable materials with THz functional devices, presenting their potential applications in the future.

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Nano-Micro Letters2025

High-Temperature Stealth Across Multi-Infrared and Microwave Bands with Efficient Radiative Thermal Management

Authors: Meng Zhao, Huanzheng Zhu, Bing Qin, Rongxuan Zhu, Jihao Zhang, Pintu Ghosh, Zuojia Wang, Min Qiu, Qiang Li

High-temperature stealth is vital for enhancing the concealment, survivability, and longevity of critical assets. However, achieving stealth across multiple infrared bands—particularly in the short-wave infrared (SWIR) band—along with microwave stealth and efficient thermal management at high temperatures, remains a significant challenge. Here, we propose a strategy that integrates an IR-selective emitter (Mo/Si multilayer films) and a microwave metasurface (TiB2–Al2O3–TiB2) to enable multi-infrared band stealth, encompassing mid-wave infrared (MWIR), long-wave infrared (LWIR), and SWIR bands, and microwave (X-band) stealth at 700 °C, with simultaneous radiative cooling in non-atmospheric window (5–8 μm). At 700 °C, the device exhibits low emissivity of 0.38/0.44/0.60 in the MWIR/LWIR/SWIR bands, reflection loss below −3 dB in the X-band (9.6–12 GHz), and high emissivity of 0.82 in 5–8 μm range—corresponding to a cooling power of 9.57 kW m−2. Moreover, under an input power of 17.3 kW m−2—equivalent to the aerodynamic heating at Mach 2.2—the device demonstrates a temperature reduction of 72.4 °C compared to a conventional low-emissivity molybdenum surface at high temperatures. This work provides comprehensive guidance on high-temperature stealth design, with far-reaching implications for multispectral information processing and thermal management in extreme high-temperature environments.

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Chinese Journal of Mechanical Engineering2025

Isogeometric Collocation Method for Random Field Discretization Based on Adaptive Moment Abscissae

Authors: Zhenyu Liu, Deshang Peng, Minglong Yang, Jin Cheng, Chan Qiu, Jianrong Tan

The discretization of random fields is the first and most important step in the stochastic analysis of engineering structures with spatially dependent random parameters. The essential step of discretization is solving the Fredholm integral equation to obtain the eigenvalues and eigenfunctions of the covariance functions of the random fields. The collocation method, which has fewer integral operations, is more efficient in accomplishing the task than the time-consuming Galerkin method, and it is more suitable for engineering applications with complex geometries and a large number of elements. With the help of isogeometric analysis that preserves accurate geometry in analysis, the isogeometric collocation method can efficiently achieve the results with sufficient accuracy. An adaptive moment abscissa is proposed to calculate the coordinates of the collocation points to further improve the accuracy of the collocation method. The adaptive moment abscissae led to more accurate results than the classical Greville abscissae when using the moment parameter optimized with intelligent algorithms. Numerical and engineering examples illustrate the advantages of the proposed isogeometric collocation method based on the adaptive moment abscissae over existing methods in terms of accuracy and efficiency.

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Chinese Journal of Mechanical Engineering2025

A Novel Gait Identity Recognition Method for Personalized Human-robot Collaboration in Industry 5.0

Authors: Zhangli Lu, Ruohan Wang, Huiying Zhou, Na Dong, Honghao Lyu, Geng Yang

The integration of human-robot collaboration (HRC) in manufacturing, particularly within the framework of Human-Cyber-Physical Systems (HCPS) and the emerging paradigm of Industry 5.0, has the potential to significantly enhance productivity, safety, and ergonomics. However, achieving seamless collaboration requires robots to recognize the identity of individual human workers and perform appropriate collaborative operations. This paper presents a novel gait identity recognition method using Inertial Measurement Unit (IMU) data to enable personalized HRC in manufacturing settings, contributing to the human-centric vision of Industry 5.0. The hardware of the entire system consists of the IMU wearable device as the data source and a collaborative robot as the actuator, reflecting the interconnected nature of HCPS. The proposed method leverages wearable IMU sensors to capture motion data, including 3-axis acceleration, 3-axis angular velocity. The two-tower Transformer architecture is employed to extract and analyze gait features. It consists of Temporal and Channel Modules, multi-head Auto-Correlation mechanism, and multi-scale convolutional neural network (CNN) layers. A series of optimization experiments were conducted to improve the performance of the model. The proposed model is compared with other state-of-the-art studies on two public datasets as well as one self-collected dataset. The experimental results demonstrate the better performance of our method in gait identity recognition. It is experimentally verified in the manufacturing environment involving four workers and one collaborative robot in an HRC assembly task, showcasing the practical applicability of this human-centric approach in the context of Industry 5.0.

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Chinese Journal of Mechanical Engineering2025

A Motion-decoupled Pneumatic Rigid-Flexible Hybrid Joint with Independently-Controlled Variable Stiffness for Continuum Robot

Authors: Wenbiao Wang, Jiahao Shi, Ke Wu, Rui Chen, Zean Yuan, Shibo Cai, Guanjun Bao

Continuum robots have been a hot topic in recent years due to their intrinsic features of agility, flexibility, and safety. To successfully deploy continuum robots in practical applications, further enhancements in variable stiffness, decoupled motion, and embedded sensing are highly desirable. Since continuum robots are usually composed of multiple joints assembled in series, their mechanical properties and performance will certainly rely on the connected joints. This paper proposes a motion-decoupled variable stiffness-decoupled pneumatic rigid-flexible hybrid joint (RFHJ), which is modular designed and integrated with a rigid hinge, a stiffness-tuning module, and soft actuators. The soft pneumatic muscle actuators are pre-stretched during assembly, ensuring the stable initial state of RFHJ. A novel musculature-mounting configuration is also presented, which enables RFHJs to achieve independent motions in two orthogonal planes. Furthermore, the variable stiffness module is embedded in the RFHJ’s structure to offer real-time and independent stiffness tunability across multiple scales in two perpendicular directions. The proposed RFHJ makes most of the advantages of soft continuum robots and conventional rigid serial robots by introducing a hybrid structure to provide both safe human-robot interaction (HRI), accurate control and reliable stiffness variation, presenting promising potentials for robotic systems, which have been theoretically proved and experimentally verified on the physical prototype. The experimental results also indicate that the developed RFHJ can work with variable stiffness ranging in [1.2, 49.9] N·m/rad. A variable stiffness rigid-flexible hybrid continuum arm (RFHA) is designed with three RFHJs in series. Primary tests on the developed RFHA prototype demonstrate that it has the characteristics of decoupled driving, bidirectional stiffness tunability and self-stability.

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Chinese Journal of Mechanical Engineering2025

Digital Twin-driven Inversion of Assembly Precision for Industrial Equipment: Challenges, Progress and Perspectives

Authors: Dinghao Cheng, Bingtao Hu, Yixiong Feng, Jiangxin Yang, Ruirui Zhong, Tianyue Wang, Jianrong Tan

Assembly precision greatly influences the performance of complex high-end equipment. The traditional industrial assembly process and deviation transfer are implicit and uncertain, causing problems like poor component fit and hard-to-trace assembly stress concentration. Assemblers can only check whether the dimensional tolerance of the component design is exceeded step by step in combination with prior knowledge. Inversion in industrial assembly optimizes assembly and design by comparing real and theoretical results and doing inversion analysis to reduce assembly deviation. The digital twin (DT) technology visualizes and predicts the assembly process by mapping real and virtual model parameters and states simultaneously, expanding parameter range for inversion analysis and improving inversion result accuracy. Problems in improving industrial assembly precision and the significance and research status of DT-driven parametric inversion of assembly tools, processes and object precision are summarized. It analyzes vital technologies for assembly precision inversion such as multi-attribute assembly process parameter sensing, virtual modeling of high-fidelity assembly systems, twin synchronization of assembly process data models, multi-physical field simulation, and performance twin model construction of the assembly process. Combined with human-cyber-physical system, augmented reality, and generative intelligence, the outlook of DT-driven assembly precision inversion is proposed, providing support for DT’s use in industrial assembly and precision improvement.

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Chinese Journal of Mechanical Engineering2025

Neural Network Adaptive Hierarchical Sliding Mode Control for the Trajectory Tracking of a Tendon-Driven Manipulator

Authors: Yudong Zhang, Leiying He, Jianneng Chen, Bo Yan, Chuanyu Wu

Tracking control of tendon-driven manipulators has become a prevalent research area. However, the existence of flexible elastic tendons generates substantial residual vibrations, resulting in difficulties for trajectory tracking control of the manipulator. This paper proposes the radial basis function neural network adaptive hierarchical sliding mode control (RBFNNA-HSMC) method, which combines the dynamic model of the elastic tendon-driven manipulator (ETDM) with radial basis neural network adaptive control and hierarchical sliding mode control technology. The aim is to achieve trajectory tracking control of ETDM even under conditions of model inaccuracy and disturbance. The Lyapunov stability theory demonstrates the stability of the proposed RBFNNA-HSM controller. In order to assess the effectiveness and adaptability of the proposed control method, simulations and experiments were performed on a two-DOF ETDM. The RBFNNA-HSM method shows superior tracking accuracy compared to traditional model-based HSM control. The experiment shows that the maximum tracking error for ETDM double-joint trajectory tracking is below 2.593×10-3 rad and 1.624×10-3 rad, respectively.

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Chinese Journal of Mechanical Engineering2025

Active Control Method for Frequency Domain Error of Aerostatic Spindle Based on Acoustic Levitation

Authors: Guoda Chen, Zhaoshou Chen, Yifan Ge

In the machining of high-end optical components, the aerostatic spindle error of an ultra-precision machine tool has a significant impact on the surface quality of the machined surfaces. The surfaces of many high-end optical components need to meet the extremely stringent requirements of the full-frequency band error, which poses significant challenge to the control of the aerostatic spindle error. In this research, we put forward an active control method for the frequency domain error of the aerostatic spindle based on acoustic levitation, in which the acoustic-magnetism-fluid-solid multi-field coupling rotor dynamics modeling method of the aerostatic spindle was proposed and the corresponding multi-field coupling model was established. Through the numerical simulation and preliminary experiments, the influence law of acoustic levitation on the frequency domain error of the aerostatic spindle is obtained. The results showed that acoustic levitation can be used to control the frequency domain error of the aerostatic spindle to some extent, which verified the effectiveness of the proposed method.

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Journal of Central South University2025

An interfacial contact model for two-dimensional thermal consolidation of multilayered saturated soils subjected to ramp-type heating

Authors: WEN Min-jie, TANG Ke-jie, XIE Jia-hao, TIAN Yi, ZHANG Yi-ming, WU Wen-bing, MEI Guo-xiong, WU Da-zhi, LIU Kai-fu

When the interface of a multilayered saturated soil is rough with noticeable gaps, heat flow lines converge towards the actual contact points, causing thermal flow contraction. Conversely, in the interface between two layers of soil with different properties, pore water flows slowly along the pore channels, demonstrating laminar flow phenomenon. To predict the thermal contact resistance and flow contact resistance at the interface, this paper constructs general imperfect thermal contact model and general imperfect flow contact model, respectively. Utilizing a thermo-hydro-mechanical coupling model, the thermal consolidation behavior of multilayered saturated soil under two-dimensional conditions is investigated. Fourier and Laplace transformations are applied to decouple the governing equations, yielding expressions for the temperature increment, pore water pressure, and displacement in multilayered saturated soil. The inverse Fourier-Laplace transformation is then used to obtain numerical solutions, which are compared with degeneration solutions to validate the computational accuracy. The differences in the thermal consolidation process under various thermal contact and flow contact resistance models are discussed. Furthermore, the impact of parameters such as the thermal resistance coefficient, partition thermal contact coefficient, flow contact resistance coefficient, and partition flow contact coefficient on thermal consolidation are investigated. Results indicate that thermal contact resistance creates a relative thermal gradient at the interface, leading to increased pore water pressure and reduced displacement nearby. In contrast, flow contact resistance generates a relative pore pressure gradient at the interface, resulting in increased displacement within the saturated soil with minimal effect on temperature increment distribution.

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